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<div class="rs-portrait">
<img src="/img/profile.jpg" alt="">
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<div class="rs-hero-main">
<div class="rs-name">
<h1 class="rs-name-cn">吴金科</h1>
<span class="rs-name-en">Jinke Wu</span>
</div>
<p class="rs-tagline">四川大学 <span class="rs-em">软件工程</span> 本科在读（2023 级）。研究方向为<span class="rs-em">大模型与智能体</span>、<span class="rs-em">推理加速</span>、<span class="rs-em">图表示学习</span>。</p>
<p class="rs-affil">College of Software Engineering, Sichuan University · LLM & Agents / Efficient Inference / Graph Representation Learning</p>
<div class="rs-actions">
<a class="rs-btn rs-btn--primary" href="mailto:W_RMSL@stu.scu.edu.cn"><i class="fas fa-envelope" aria-hidden="true"></i>W_RMSL@stu.scu.edu.cn</a>
<a class="rs-btn" href="/files/Jinke_Wu_CV.pdf" target="_blank" rel="noopener"><i class="fas fa-file-pdf" aria-hidden="true"></i>简历 PDF</a>
</div>
</div>
</header>
<section class="rs-section">
<h2 class="rs-h2">教育背景 <span class="rs-h2-en">Education</span></h2>
<div class="rs-edu">
<div><span class="rs-edu-school">四川大学</span><span class="rs-edu-major">· 软件学院 · 软件工程 · 本科</span></div>
<div class="rs-edu-date">2023.09 – 2027.06</div>
</div>
<div class="rs-stats">
<div class="rs-stat">
<div class="rs-stat-num">3.8<span class="rs-stat-unit"> / 4.0</span></div>
<div class="rs-stat-label">学分绩点</div>
</div>
<div class="rs-stat">
<div class="rs-stat-num">18<span class="rs-stat-unit"> / 246</span></div>
<div class="rs-stat-label">综合排名</div>
</div>
<div class="rs-stat">
<div class="rs-stat-num">36<span class="rs-stat-unit"> / 246</span></div>
<div class="rs-stat-label">绩点排名</div>
</div>
<div class="rs-stat">
<div class="rs-stat-num">565</div>
<div class="rs-stat-label">英语六级</div>
</div>
</div>
<p class="rs-courses"><span class="rs-courses-label">代表性课程</span>人工智能基础算法 97 · 程序设计基础 95 · 离散数学 94 · 数据结构与算法 90 · 操作系统 90</p>
</section>
<section class="rs-section">
<h2 class="rs-h2">科研成果 <span class="rs-h2-en">Publications</span></h2>
<div class="rs-pubs">
<article class="rs-pub">
<div class="rs-pub-venue"><span class="rs-badge is-ijcai">IJCAI 2026</span></div>
<div class="rs-pub-body">
<p class="rs-pub-title">scGTN: Deep Siamese Graph Transformer Network for Single-cell RNA Sequencing Clustering<span class="rs-tag rs-tag--first">第一作者</span></p>
<p class="rs-pub-authors"><span class="rs-me">Jinke Wu</span>, Yifan Wang, Siyu Yi, Caiyang Yu, Ziyue Qiao, Nan Yin, Jiancheng Lv, Wei Ju</p>
<p class="rs-pub-status is-accepted">IJCAI 2026 main track 已录用</p>
<p class="rs-pub-desc">面向单细胞测序数据的高噪声与高稀疏性：构建双重增强图视图抑制结构噪声，用孪生图 Transformer 显式融入最短路径与节点间距离以捕获细胞长程依赖，并以最优传输策略对齐细胞聚类分布，在多个 scRNA-seq 基准上达到 SOTA。</p>
</div>
</article>
<article class="rs-pub">
<div class="rs-pub-venue"><span class="rs-badge is-mm">ACM MM 2026</span></div>
<div class="rs-pub-body">
<p class="rs-pub-title">BRACE: Taming Sharp Irregularities via Barycentric Rational Forecasting for Fast Diffusion Transformers Inference<span class="rs-tag rs-tag--first">共同一作</span></p>
<p class="rs-pub-authors">Jinlong Yang*, <span class="rs-me">Jinke Wu</span>*, Zilin Li, Yao Zhou</p>
<p class="rs-pub-status is-accepted">ACM MM 2026 main track 已录用</p>
<p class="rs-pub-desc">面向扩散 Transformer 推理开销大、长跳步预测不稳定的问题，提出免训练加速框架：把预测范式从导数驱动的多项式外推转为特征驱动的有理外推，用局部滑动窗口缓存稀疏历史特征，以自适应 Chebyshev 权重构造重心有理函数保证数值稳定，在 DiT-XL/2、FLUX.1-dev 与 HunyuanVideo 上取得更优的质量–效率权衡。</p>
</div>
</article>
<article class="rs-pub">
<div class="rs-pub-venue"><span class="rs-badge is-aaai">AAAI</span></div>
<div class="rs-pub-body">
<p class="rs-pub-title">GRAD-RIR: Topology-Aware Graph-Conditioned Diffusion Model for Sparse RIR Prediction<span class="rs-tag rs-tag--first">第一作者</span></p>
<p class="rs-pub-authors"><span class="rs-me">Jinke Wu</span>, Jinlong Yang, Mengtao Wu, Zhenning Ba, Xianggen Liu, Wei Ju</p>
<p class="rs-pub-status">AAAI Under review（ACM MM 转投）</p>
<p class="rs-pub-desc">面向稀疏观测下的真实房间脉冲响应估计：以声源、已测锚点与查询位置构建异构空间图，每个节点由局部视觉–几何特征锚定，显式建模复杂房间拓扑与遮挡关系；双阶段解码器分别确定性预测早期反射、条件扩散生成晚期混响拖尾，在多个稀疏度基准上对未见环境保持强泛化。</p>
</div>
</article>
<article class="rs-pub">
<div class="rs-pub-venue"><span class="rs-badge is-icde">ICDE 2027</span></div>
<div class="rs-pub-body">
<p class="rs-pub-title">VISPATH: Visual-Intent-Guided Path Reasoning for Multimodal Knowledge Graph Question Answering<span class="rs-tag rs-tag--first">共同一作</span></p>
<p class="rs-pub-authors"><span class="rs-me">Jinke Wu</span>*, Zhengpin Li*, Mengzhe Jia, Yang Li, Wentao Zhang</p>
<p class="rs-pub-status">ICDE 2027 Under review</p>
<p class="rs-pub-desc">针对多模态知识图谱问答中多跳推理易退化为纯文本图搜索、中间跳视觉线索被浪费的问题，提出免训练框架：每一跳依据图像、问题与当前部分路径重新计算「跳级视觉意图」以引导路径扩展，随后在整条证据链粒度上做剪枝与语义重排序，最后由多模态自适应推理判定可答性并提前停止；同时构建了一个面向多跳推理的高难度多模态问答基准。</p>
</div>
</article>
<article class="rs-pub">
<div class="rs-pub-venue"><span class="rs-badge is-neurips">NeurIPS 2026</span></div>
<div class="rs-pub-body">
<p class="rs-pub-title">FADE: Fractional Anomalous Dynamics Extrapolation for Training-Free Diffusion Transformers Acceleration<span class="rs-tag rs-tag--first">共同一作</span></p>
<p class="rs-pub-authors">Jinlong Yang*, <span class="rs-me">Jinke Wu</span>*, Zilin Li, Yao Zhou</p>
<p class="rs-pub-status">NeurIPS 2026 Under review</p>
<p class="rs-pub-desc">发现扩散 Transformer 的特征演化呈现反常扩散特性与时空异质性，用 Mittag-Leffler 分数阶算子替代整数阶预测算子以适配高曲率的非线性隐轨迹，并通过离线剖析构建多维查找表，使在线推理时的参数检索零开销且时空自适应。</p>
</div>
</article>
</div>
<p class="rs-note">* 表示共同第一作者。</p>
</section>
<section class="rs-section">
<h2 class="rs-h2">项目经历 <span class="rs-h2-en">Projects</span></h2>
<div class="rs-projects">
<article class="rs-project">
<div class="rs-project-head">
<a class="rs-project-name" href="https://github.com/OpenDCAI/DataFlow" target="_blank" rel="noopener">DataFlow<i class="fas fa-arrow-up-right-from-square rs-extlink" aria-hidden="true"></i></a>
<span class="rs-project-role">核心贡献者</span>
</div>
<p class="rs-project-desc">PKU-DCAI 团队的大模型数据准备与治理开源项目（GitHub 6k stars）。作为核心贡献者参与设计并开发知识图谱子模块 <strong>DataFlow-KG</strong>：原本 DataFlow 缺乏系统化的知识图谱构建、管理与应用能力，难以支撑多源异构数据处理。该模块覆盖通用图谱、时序图谱、超关系图谱、多模态图谱及地理/法律/学者等领域图谱，构建 150+ 个可复用算子与 10 条标准化流水线，实现 PDF 解析、LLM 驱动的实体关系抽取、图谱清洗与增强、质量评估，以及 Graph RAG / Graph Reasoning 等下游应用的端到端自动化。核心流水线端到端成功率 ≥ 95%，实体抽取 F1 ≥ 0.75。</p>
<div class="rs-stack"><span>知识图谱</span><span>LLM Agent</span><span>Graph RAG</span><span>Python</span></div>
</article>
</div>
</section>
<section class="rs-section">
<h2 class="rs-h2">奖项荣誉 <span class="rs-h2-en">Awards</span></h2>
<div class="rs-awards">
<ul class="rs-award-col">
<li>国家励志奖学金<span class="rs-lv">国家级</span></li>
<li>安恒星火奖学金<span class="rs-lv">企业</span></li>
<li>四川大学综合奖学金<span class="rs-lv">校级</span></li>
<li>四川大学优秀学生干部<span class="rs-lv">校级</span></li>
</ul>
<ul class="rs-award-col">
<li>2025 中国机器人大赛暨 RoboCup 机器人世界杯中国赛，三等奖<span class="rs-lv">国家级</span></li>
<li>APMCM 亚太地区大学生数学建模竞赛，二等奖<span class="rs-lv">国家级</span></li>
<li>美国大学生数学建模竞赛，Meritorious Winner<span class="rs-lv">国际</span></li>
<li>高教社杯全国大学生数学建模竞赛，一等奖<span class="rs-lv">省级</span></li>
<li>中国高校计算机大赛 AIGC 创新赛，三等奖<span class="rs-lv">西南赛区</span></li>
</ul>
</div>
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